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Noble Desktop

Python Machine Learning Advanced

via Noble Desktop

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Overview

This hands-on course focuses on Natural Language Processing (NLP) and building real-world applications with Flask. You’ll learn how to clean and process text data, perform sentiment analysis, and build a machine learning-powered recommendation system using TF–IDF vectorization and cosine similarity.

Syllabus

1. NLP & Sentiment Analysis

Environment Setup & NLP Fundamentals

  • VS Code environment configuration, NLP libraries installation
  • Tokenization, stopword removal, stemming, lemmatization
  • Text representation with Bag of Words and TF-IDF

Sentiment Analysis Project

  • Logistic Regression for sentiment classification
  • Data splitting, model evaluation metrics (accuracy, precision, recall, confusion matrix)

2. Recommendation Systems

Collaborative Filtering

  • User-based and item-based filtering
  • Cosine similarity for personalized recommendations

Content-Based Movie Recommender

  • Vectorizing text using TF-IDF
  • Implementing content similarity algorithms

3. Flask App for Recommendations

Building an ML-Powered Web App

  • Flask basics and web serving
  • Developing a recommendation system Flask app

Taught by

Brian McClain, Colin Jaffe, and Kash Sudhakar

Reviews

5 rating at Noble Desktop based on 4 ratings

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